Applies uncertainty quantification and Chernoff-like bounds to quantify and certify variability in flexible protein-protein docking algorithms.
Discriminative learning for protein conformation sampling
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Quantified uncertainty of flexible protein-protein docking algorithms
Applies uncertainty quantification and Chernoff-like bounds to quantify and certify variability in flexible protein-protein docking algorithms.